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def climb_stairs(n: int) -> int: | |
memo = {1:1, 2:2} | |
def climb(n): | |
if n not in memo: | |
memo[n] = climb(n-1) + climb(n-2) | |
return memo.get(n) | |
return climb(n) |
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func climbStairs(n int) int { | |
memo := map[int]int{ | |
1:1, | |
2:2, | |
} | |
var climb func(n int) int | |
climb = func (n int) int { | |
_, ok := memo[n]; | |
if !ok { | |
memo[n] = climb(n-1) + climb(n-2) | |
} | |
return memo[n] | |
} | |
return climb(n) | |
} |
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let climbStairs = function(n) { | |
memo = {1:1,2:2} | |
function climb(n){ | |
if ( !(n in memo)){ | |
memo[n] = climb(n-1) + climb(n-2) | |
} | |
return memo[n] | |
} | |
return climb(n) | |
}; |
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""" | |
Given a 2D binary matrix filled with 0's and 1's, | |
find the largest square containing only 1's and return its area. | |
1 0 1 0 0 | |
1 0 1 1 1 | |
1 1 1 1 1 | |
1 0 0 1 0 | |
Output: 4 | |
""" | |
def maximalSquare(self, matrix: List[List[str]]) -> int: | |
rows = len(matrix) | |
if rows: | |
cols = len(matrix[0]) | |
else: | |
cols = 0 | |
dp = [0] * (cols+1) | |
maxsq = 0 | |
prev = 0 | |
for i in range(1,rows+1): | |
for j in range(1,cols+1): | |
temp = dp[j] | |
if matrix[i-1][j-1] == "1": | |
min_prev = min(dp[j-1], prev) | |
min_cur = min(min_prev, dp[j]) | |
dp[j] = min_cur + 1 | |
maxsq = max(maxsq,dp[j]) | |
else: | |
dp[j] = 0 | |
prev = temp | |
return maxsq*maxsq |
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